Textural Noise Correction for Sentinel-1 TOPSAR Cross-Polarization Channel Images
نویسندگان
چکیده
منابع مشابه
Two New Methods of Boundary Correction for Classifying Textural Images
With the growth of technology, supervising systems are increasingly replacing humans in military, transportation, medical, spatial, and other industries. Among these systems are machine vision systems which are based on image processing and analysis. One of the important tasks of image processing is classification of images into desirable categories for the identification of objects or their sp...
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with the growth of technology, supervising systems are increasingly replacing humans in military, transportation, medical, spatial, and other industries. among these systems are machine vision systems which are based on image processing and analysis. one of the important tasks of image processing is classification of images into desirable categories for the identification of objects or their sp...
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Remote sensing is a field that has wide use, leading to the fact that it has a great importance. Therefore performance of selected features plays a great role. In order to gain some perspective on useful textural features, we have brought together state-of-art textural features in recent literature, yet to be applied in remote sensing field, as well as presenting a comparison with traditional o...
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Two algorithms for accurate skew detection and correction of textual documents are presented. They depend on finding a horizontal RLSA image of the skewed document. The average skew of selected black connected components in the RLSA image is considered as the skew angle for the whole document which is finally rotated in the opposite direction by that amount to obtain the final corrected image. ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Geoscience and Remote Sensing
سال: 2019
ISSN: 0196-2892,1558-0644
DOI: 10.1109/tgrs.2018.2889381